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ORCIDFang Gao 0001
Person information
- affiliation: Guangxi University, School of Electrical Engineering, Nanning, China
Other persons with the same name
- Fang Gao — disambiguation page
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Journal Articles
- 2024
[j20]Guojian Wu, Dejian Huang, Feng Shuang, Fang Gao:
Variational quantum eigenvalue solver algorithm utilizing bridge-inspired quantum circuits and a gradient filter module. Comput. Phys. Commun. 298: 109117 (2024)- [j19]Fang Gao
, Rongwei Zhang, Jingfeng Tang, Shaomin Liu, Wenbo Li, Jun Yu, Changwen Chen, Hanbo Zheng:
Pin-CasNet: Detecting pin status in transmission lines based on cascade network. Eng. Appl. Artif. Intell. 127(Part B): 107244 (2024) - [j18]Guangyu Xiang, Shaodong Li, Feng Shuang, Fang Gao, Xiaogang Yuan:
SC-AIRL: Share-Critic in Adversarial Inverse Reinforcement Learning for Long-Horizon Task. IEEE Robotics Autom. Lett. 9(4): 3179-3186 (2024) - 2023
- [j17]Fang Gao, Guojian Wu, Suhang Guo, Wei Dai, Feng Shuang:
Solving DC power flow problems using quantum and hybrid algorithms. Appl. Soft Comput. 137: 110147 (2023) - [j16]Fang Gao, Yong Liu, Pengbo Shi, Yan Jin, Jun Yu, Shaodong Li:
Dual-scale point cloud completion network based on high-frequency feature fusion. Image Vis. Comput. 139: 104818 (2023) - [j15]Dewen Cao, Feng Shuang, Fang Gao:
Spatial coherent control of quantum pathways with counter-propagating femtosecond pulse pairs. J. Frankl. Inst. 360(17): 13889-13907 (2023) - [j14]Song Liu, Shumin Zhou, Xiujuan Lu, Fang Gao, Feng Shuang, Sen Kuang:
Lyapunov control of finite-dimensional quantum systems based on bi-objective quantum-behaved particle swarm optimization algorithm. J. Frankl. Inst. 360(17): 13951-13971 (2023) - [j13]Hao Chang, Guochen Xie, Jun Yu, Qiang Ling, Fang Gao, Ye Yu:
A viable framework for semi-supervised learning on realistic dataset. Mach. Learn. 112(6): 1847-1869 (2023) - [j12]Yan Jin, Fang Gao, Jun Yu, Jiabao Wang, Feng Shuang:
Multi-Object Tracking: Decoupling Features to Solve the Contradictory Dilemma of Feature Requirements. IEEE Trans. Circuits Syst. Video Technol. 33(9): 5117-5132 (2023) - 2022
- [j11]Fang Gao, Pengbo Shi, Jiabao Wang, Wenbo Li, Yaoxiong Wang, Jun Yu, Yong Li, Feng Shuang:
Dual feature fusion network: A dual feature fusion network for point cloud completion. IET Comput. Vis. 16(6): 541-555 (2022) - [j10]Fang Gao, Qingyi Sun, Shaodong Li, Wenbo Li, Yong Li, Jun Yu, Feng Shuang:
Efficient 6D object pose estimation based on attentive multi-scale contextual information. IET Comput. Vis. 16(7): 596-606 (2022) - [j9]Beili Gong, Fang Gao, Wei Cui:
Anonymous communication protocol over quantum networks. Quantum Inf. Process. 21(3): 99 (2022) - [j8]Fang Gao, Guojian Wu, Mingyu Yang, Wei Cui, Feng Shuang:
A hybrid algorithm to solve linear systems of equations with limited qubit resources. Quantum Inf. Process. 21(3): 111 (2022) - 2021
- [j7]Linfei Yin, Chenwei Zhang, Yaoxiong Wang, Fang Gao, Jun Yu, Lefeng Cheng:
Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems. IEEE Access 9: 31880-31891 (2021) - [j6]Linfei Yin, Lichun Chen, Dongduan Liu, Xiao Huang, Fang Gao:
Quantum deep reinforcement learning for rotor side converter control of double-fed induction generator-based wind turbines. Eng. Appl. Artif. Intell. 106: 104451 (2021) - [j5]Yong Li, Yinzheng Luo, Xia Gu, Dong Chen, Fang Gao, Feng Shuang:
Point Cloud Classification Algorithm Based on the Fusion of the Local Binary Pattern Features and Structural Features of Voxels. Remote. Sens. 13(16): 3156 (2021) - 2020
- [j4]Linfei Yin, Shengyuan Li, Fang Gao:
Equilibrium Stability of Asymmetric Evolutionary Games of Multi-Agent Systems With Multiple Groups in Open Electricity Market. IEEE Access 8: 28970-28978 (2020) - [j3]Linfei Yin, Zhixiang Sun, Fang Gao, Hui Liu:
Deep Forest Regression for Short-Term Load Forecasting of Power Systems. IEEE Access 8: 49090-49099 (2020) - [j2]Linfei Yin, Shikui Luo, Yaoxiong Wang, Fang Gao, Jun Yu:
Coordinated Complex-Valued Encoding Dragonfly Algorithm and Artificial Emotional Reinforcement Learning for Coordinated Secondary Voltage Control and Automatic Voltage Regulation in Multi-Generator Power Systems. IEEE Access 8: 180520-180533 (2020) - [j1]Xuan Liu, Yong Li, Feng Shuang, Fang Gao, Xiang Zhou, Xingzhi Chen:
ISSD: Improved SSD for Insulator and Spacer Online Detection Based on UAV System. Sensors 20(23): 6961 (2020)
Conference and Workshop Papers
- 2023
- [c14]Quansheng Liu, Lei Wang, Jun Yu, Fang Gao:
Cross-Domain Transformer with Adaptive Thresholding for Domain Adaptive Semantic Segmentation. ICANN (8) 2023: 147-159 - [c13]Liuxue Ju, Chengdao Pu, Fang Gao, Jun Yu:
Adaptive Fine-Grained Region Matching for Image Harmonization. ICIG (3) 2023: 3-15 - [c12]Chengdao Pu, Liuxue Ju, Fang Gao, Jun Yu:
RatiO R-CNN: An Efficient and Accurate Detection Method for Oriented Object Detection. ICIG (3) 2023: 28-40 - [c11]Quansheng Liu, Chengdao Pu, Fang Gao, Jun Yu:
Prototypical Contrastive Learning for Domain Adaptive Semantic Segmentation. IJCNN 2023: 1-9 - [c10]Jun Yu, Zhongpeng Cai, Shenshen Du, Xiaxin Shen, Lei Wang, Fang Gao:
Efficient Micro-Expression Spotting Based on Main Directional Mean Optical Flow Feature. ACM Multimedia 2023: 9541-9545 - [c9]Fang Gao, Wenjie Wu, Yan Jin, Lei Shi, Shengheng Ma:
A Sparse Attention Pipeline for DeepSportRadar Basketball Player Instance Segmentation Challenge. MMSports@MM 2023: 131-135 - [c8]Fang Gao, Qiujun Li, Qingyi Sun:
Improving 6D Object Pose Estimation Based on Semantic Segmentation. SMC 2023: 3763-3769 - 2022
- [c7]Jun Yu, Hao Chang, Zhongpeng Cai, Guochen Xie, Liwen Zhang, Keda Lu, Shenshen Du, Zhihong Wei, Zepeng Liu, Fang Gao, Feng Shuang:
Efficient Model Integration for Snake Classification. CLEF (Working Notes) 2022: 2262-2274 - [c6]Jun Yu, Hao Chang, Keda Lu, Guochen Xie, Liwen Zhang, Zhongpeng Cai, Shenshen Du, Zhihong Wei, Zepeng Liu, Fang Gao, Feng Shuang:
Bag of Tricks and a Strong Baseline for FGVC. CLEF (Working Notes) 2022: 2275-2290 - [c5]Aneesh Rangnekar, Zachary Mulhollan, Anthony Vodacek, Matthew J. Hoffman, Ángel D. Sappa, Erik Blasch, Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Fang Gao, Ye Yu, Feng Shuang, Lei Wang, Qiang Ling, Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim:
Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022. CVPR Workshops 2022: 389-397 - [c4]Jun Yu, Guochen Xie, Zhongpeng Cai, Peng He, Fang Gao, Qiang Ling:
Micro Expression Generation with Thin-plate Spline Motion Model and Face Parsing. ACM Multimedia 2022: 7210-7214 - 2021
- [c3]Jun Yu, Xinlong Hao, Xinjian Gao, Qiang Sun, Yuyu Liu, Peng Chang, Zhong Zhang, Fang Gao, Feng Shuang:
Radar Object Detection Using Data Merging, Enhancement and Fusion. ICMR 2021: 566-572 - 2020
- [c2]Jun Yu, Guochen Xie, Mengyan Li, Haonian Xie, Xinlong Hao, Fang Gao, Feng Shuang:
Attention Based Beauty Product Retrieval Using Global and Local Descriptors. ACM Multimedia 2020: 4708-4712 - 2013
- [c1]Yaoxiong Wang, Fang Gao, Xubing Tang, Feng Shuang:
A Linearization Approach in Quantum Decoherence Systems for Compressive Sensing. ICONS 2013: 377-381
Informal and Other Publications
- 2023
- [i2]Fang Gao, XueTao Li, Jun Yu, Shaung Feng:
A Two-stage Fine-tuning Strategy for Generalizable Manipulation Skill of Embodied AI. CoRR abs/2307.11343 (2023) - 2021
- [i1]Fang Gao, Jiabao Wang, Jun Yu, Yaoxiong Wang, Feng Shuang:
A Weakly-Supervised Depth Estimation Network Using Attention Mechanism. CoRR abs/2107.04819 (2021)
Coauthor Index
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